Results 211 to 220 of about 1,025,950 (315)
IMPACT: In-Memory ComPuting Architecture based on Y-FlAsh Technology for Coalesced Tsetlin machine inference. [PDF]
Ghazal O +5 more
europepmc +1 more source
Deep learning incorporating biologically inspired neural dynamics and in-memory computing
Stanisław Woźniak +3 more
semanticscholar +1 more source
A bimetallic Mn–Ca nanoreactor (MCC) is developed as a non‐nucleotide STING nanoagonist for cancer metalloimmunotherapy. MCC induces Ca2+ overload and hydroxyl radical generation, resulting in mitochondrial damage and mtDNA release. The released mtDNA cooperates with Mn2+ to robustly activate cGAS–STING signaling.
Xin Wang Mo +7 more
wiley +1 more source
Cryo-SIMPLY: A Reliable STT-MRAM-Based Smart Material Implication Architecture for In-Memory Computing. [PDF]
Moposita T +3 more
europepmc +1 more source
Electroactive Liquid Crystal Elastomers as Soft Actuators
Electroactive liquid crystal elastomers (eLCEs) can be actuated via electromechanical, electrochemical, or electrothermal effects. a) Electromechanical effects include Maxwell stress, electrostriction, and the electroclinic effect. b) Electrochemical effects arise from electrode redox reactions.
Yakui Deng, Min‐Hui Li
wiley +1 more source
Charge-trap synaptic device with polycrystalline silicon channel for low power in-memory computing. [PDF]
Park MK +7 more
europepmc +1 more source
It is reported that the ferroelectric switching behavior of rhombohedral (3R) phase transition metal dichalcogenide (TMD) bilayers strongly depends on their domain structures. Single‐domain TMDs (SD‐TMDs) with domain‐wall‐free structures exhibit robust and stable polarization switching, whereas poly‐domain TMDs (PD‐TMDs) with randomly distributed ...
Ji‐Hwan Baek +8 more
wiley +1 more source
Adapting magnetoresistive memory devices for accurate and on-chip-training-free in-memory computing. [PDF]
Xiao Z +5 more
europepmc +1 more source
A W/NbOx/Pt memristor demonstrates the coexistence of volatile, non‐volatile, and threshold switching characteristics. Volatile switching serves as a reservoir computing layer, providing dynamic short‐term processing. Non‐volatile switching, stabilized through ISPVA, improves reliable long‐term readout. Threshold switching operates as a leaky integrate
Ungbin Byun, Hyesung Na, Sungjun Kim
wiley +1 more source
Ferroelectric capacitors and field-effect transistors as in-memory computing elements for machine learning workloads. [PDF]
Yu E, K GK, Saxena U, Roy K.
europepmc +1 more source

